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A mixed-integer linear programming approach for an optimal-economic design of renewable district heating systems: a case study for a German grid

In: Handbook on the Economics of Renewable Energy

Author

Listed:
  • Maximilian Sporleder
  • Michael Rath
  • Markus Jansen
  • Robin Mann

Abstract

Global climate change has had devastating results in the last decades, and the fossil fuel-driven heating sector needs to transform into a sustainable system. Therefore, we examined the economics of different renewable and non-renewable technologies, suggesting possible transformation technologies that favour an economic system. We applied our method to a district heating system in Germany. The method is a mixed-integer linear programming model capable of optimizing the design and operation of energy converters and storage in dependency on an economic objective function. The results have shown that biomass heat plants and large-scale heat pumps can compete with gas-fired CHP plants. In 2022, gas is neither an economical nor a sustainable solution. Furthermore, it was shown that the optimizer strives towards a low-temperature system. Large-scale heat pumps, biomass plants and temperature lowering measures should be part of the design of sustainable economic district heating systems.

Suggested Citation

  • Maximilian Sporleder & Michael Rath & Markus Jansen & Robin Mann, 2023. "A mixed-integer linear programming approach for an optimal-economic design of renewable district heating systems: a case study for a German grid," Chapters, in: Pablo del Río & Mario Ragwitz (ed.), Handbook on the Economics of Renewable Energy, chapter 15, pages 340-363, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20354_15
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    File URL: https://www.elgaronline.com/doi/10.4337/9781800379022.00024
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